Adobe
Overview
Senior Data Scientist, Adobe Stock at Adobe. The role sits in the Adobe Stock Analytics and Insights team as a key hire for the Data Science Center of Excellence (CoE) for the Adobe Stock business unit. You will partner closely with Marketing, Product, and Engineering to develop data science solutions that inform acquisition strategies, optimize retention, and forecast demand. Your work will influence Adobe Stock’s roadmap by uncovering growth levers and patterns in user behavior, acquisition channels, and user churn dynamics. Responsibilities
Contribute to the development of customer segmentation models using clustering and unsupervised learning techniques to uncover behavioral cohorts and inform targeting. Build and refine forecasting models (e.g., ARIMA, Prophet, ML-based time series methods) to predict demand and engagement trends. Model customer value over time (LTV) and translate findings into practical strategies for acquiring and retaining customers. Develop churn prediction models to identify at‑risk users and propose interventions in partnership with product and marketing teams. Create scalable, reusable ML workflows and data science artifacts that improve efficiency across the organization. Partner with analysts and engineers to design and interpret experiments (A/B tests, cohort studies, causal inference). Present insights and model outcomes clearly to technical and non-technical audiences, bridging the gap between data and decision-making. Qualifications
5+ years of experience in data science or advanced analytics, ideally within eCommerce, digital subscriptions, or marketplaces. Strong proficiency in Python and SQL for data manipulation, modeling, and analysis. Familiarity with Databricks or similar cloud-based data platforms. Solid understanding of time series forecasting methods (ARIMA, Prophet, ML-based). Experience building segmentation or clustering models (e.g., k-means, hierarchical clustering, embeddings). Strong applied statistics foundation (hypothesis testing, regression, experimental design). Proficiency with data visualization tools (e.g., Tableau, Power BI, or equivalent). Demonstrated ability to manage projects independently, while working effectively with partners from different functions. Compensation and notices
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $128,600 -- $234,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In addition, state and company policy may apply to incentives and long-term incentives. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. If you require accommodation to navigate our website or complete the application process, please email accommodations@adobe.com or call (408) 536-3015.
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Senior Data Scientist, Adobe Stock at Adobe. The role sits in the Adobe Stock Analytics and Insights team as a key hire for the Data Science Center of Excellence (CoE) for the Adobe Stock business unit. You will partner closely with Marketing, Product, and Engineering to develop data science solutions that inform acquisition strategies, optimize retention, and forecast demand. Your work will influence Adobe Stock’s roadmap by uncovering growth levers and patterns in user behavior, acquisition channels, and user churn dynamics. Responsibilities
Contribute to the development of customer segmentation models using clustering and unsupervised learning techniques to uncover behavioral cohorts and inform targeting. Build and refine forecasting models (e.g., ARIMA, Prophet, ML-based time series methods) to predict demand and engagement trends. Model customer value over time (LTV) and translate findings into practical strategies for acquiring and retaining customers. Develop churn prediction models to identify at‑risk users and propose interventions in partnership with product and marketing teams. Create scalable, reusable ML workflows and data science artifacts that improve efficiency across the organization. Partner with analysts and engineers to design and interpret experiments (A/B tests, cohort studies, causal inference). Present insights and model outcomes clearly to technical and non-technical audiences, bridging the gap between data and decision-making. Qualifications
5+ years of experience in data science or advanced analytics, ideally within eCommerce, digital subscriptions, or marketplaces. Strong proficiency in Python and SQL for data manipulation, modeling, and analysis. Familiarity with Databricks or similar cloud-based data platforms. Solid understanding of time series forecasting methods (ARIMA, Prophet, ML-based). Experience building segmentation or clustering models (e.g., k-means, hierarchical clustering, embeddings). Strong applied statistics foundation (hypothesis testing, regression, experimental design). Proficiency with data visualization tools (e.g., Tableau, Power BI, or equivalent). Demonstrated ability to manage projects independently, while working effectively with partners from different functions. Compensation and notices
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $128,600 -- $234,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In addition, state and company policy may apply to incentives and long-term incentives. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. If you require accommodation to navigate our website or complete the application process, please email accommodations@adobe.com or call (408) 536-3015.
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